Literature DB >> 33022322

Screen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study.

George Thomas1, Jason A Bennie2, Katrien De Cocker2, Michael J Ireland3, Stuart J H Biddle2.   

Abstract

The longitudinal trends of screen time, a highly prevalent behavior in adolescents, are relatively unknown. This study examined longitudinal trends in screen time among a large sample of Australian primary school-aged children transitioning into secondary school-aged adolescence. Data were derived from the Longitudinal Study of Australian Children (LSAC). In 2010, 2179 children (49.7% boys; 10.3 ± 1.1 years) completed a time-use diary, recording their main activities during waking hours. This was repeated with the same sample in 2012 (12.4 ± 0.5 years) and 2014 (14.4 ± 0.5 years). Data were analyzed for time spent in TV viewing, computer use, electronic gaming, and social networking and online communication. Repeated-measures MANCOVA tests were performed to analyze trends in screen time. Trends were also analyzed by sex. Total screen time significantly increased (+85.9 min/day) over four years (ηp2 = 0.010, P < .001), but differed by sex, with a larger increase in boys (boys: +41.6, girls: +22.7 min/day). Electronic gaming increased in boys (+43.2 min/day) and decreased in girls (-16.8 min/day). In contrast, girls reported larger increases in TV viewing (boys: +0.4, girls: +29.1 min/day), computer use (boys: +24.8, girls: +34.3 min/day) and time communicating online and social networking (boys: +4.3, girls: +15.2 min/day). To conclude, screen time among adolescents increases between the ages of 10 and 14 years, but differs by sex and screen time domain. Future screen time reduction interventions may choose to focus on recreational computer use and electronic gaming in boys and TV viewing and time spent communicating online and social networking for girls.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Australia; Longitudinal; Screen time; Trends

Mesh:

Year:  2020        PMID: 33022322     DOI: 10.1016/j.ypmed.2020.106258

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

1.  The diurnal pattern and social context of screen behaviours in adolescents: a cross-sectional analysis of the Millennium Cohort Study.

Authors:  Elli Kontostoli; Andy P Jones; Andrew J Atkin
Journal:  BMC Public Health       Date:  2022-06-07       Impact factor: 4.135

2.  Physical activity and sedentary behaviour of female adolescents in Indonesia: A multi-method study on duration, pattern and context.

Authors:  Fitria Dwi Andriyani; Stuart J H Biddle; Aprida Agung Priambadha; George Thomas; Katrien De Cocker
Journal:  J Exerc Sci Fit       Date:  2022-02-24       Impact factor: 3.103

3.  Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study.

Authors:  George Thomas; Jason A Bennie; Katrien De Cocker; Fitria Dwi Andriyani; Bridget Booker; Stuart J H Biddle
Journal:  JMIR Pediatr Parent       Date:  2022-03-21
  3 in total

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